About Us

Wireless Communications and Networking Laboratory (WCN Lab) is established by Prof. Huai-Sheng Huang from the Department of Information Management at the Fu Jen Catholic University since September 2016.

We focus on several innovative areas such as Charging System (CS), Smart Data Pricing (SDP), Wireless Communications and Networks, Internet of Things (IoT), Big Data, Cloud Computing and Virtual Reality (VR). 

In Charging System (CS), we focus on several key issues such as credit management, policy control and diameter protocol. For example, based on the 3GPP specifications, Online Charging System (OCS) has to determine the Granted Unit (GU) and create reservations per session before a service is delivered by the serving network to a User Equipment (UE). However, fixed GUs cannot adapt to dynamic consumer behaviors, which usually require dynamic GUs. Clearly, giving small GUs will incur too many signaling messages for making reservations, but giving excessive GUs will cause unbalanced distribution of resources, especially in FSP cases. Since how to determine GUs is an open issue that can be self-defined by telecommunications operators, we propose innovative schemes for dynamically assigning GUs to UEs belonging to the same family shared plan, based on their historical data usage and total monthly data allowance.

Fig. 1: Reservation flow for OCS
Reference: 3GPP TS 32.296

In Smart Data Pricing (SDP), we focus on Time-Dependent Pricing (TDP), Paris Metro Pricing (PMP) and Family Shared Plan (FSP). Since static pricing models (such as flat-rate or tiered-rate models) cannot improve user utility for subscribers and ease network congestion for operators during peak time, SDP has become an important incentive for mobile data markets. Some operators are currently exploring various forms of TDP to manage their traffic growth. On the other hand, PMP, which is a static pricing mode inspired by the pricing model for the Paris metro system, uses differentiated prices to motivate users to choose different train classes. Based on PMP, we propose an adaptive PMP scheme, which can improve total revenue and Average Revenue Per User (ARPU) for the operator.

Fig. 2: The motivation of our proposed scheme.
Reference: http://www.jreast-app.jp/en/

In Wireless Communications and Networks, power management, resource management, Machine-to-Machine (M2M) and Device-to-Device (D2D) are the most critical issues in the Long Term Evolution (LTE) networks. Discontinuous reception (DRX) is a method used in LTE networks to conserve the battery of the mobile device. The mobile device and the network negotiate phases in which data transfer occurs. During other times the device turns its receiver off and enters a low power state. Since scheduling scheme of DRX is an open issue in the specification established by the 3rd Generation Partnership Project (3GPP), we should design an efficient scheduling scheme for the next generation ireless networks beyond 4G networks.

Fig. 3: The concept of DRX.
Reference: www.sharetechnote.com

In Internet of Things (IoT), we focus on framework and application design adopting oneM2M specification or OM2M opensource platform. Besides, since the back-off scheme is an essential open issue in the 3GPP specification, we try to design an efficient triggering scheme to solve the explosive signalings, which may occur disastrous congestion in the LTE networks.

Fig. 4: The architecture proposed by 3GPP to deal with the MTC communications.

In Big Data and Cloud Computing, we focus on Apache Spark since it is a fast and general engine for large-scale data processing. Besides, we also focus on Amazon Web Services (AWS) since Prof. Huang is FJCU’s Central Point of Contact (CPoC) of AWS Educate (News from FJU) and AWS Academy  (News from FJCU). In our project cooperating with ITRI (工研院), we build a cloud computing system used by farmers and experts. They can use our system to comment on crops’ states of health. Our system can log crops’ production history and monitor their states of health. On the other hand, we also adopt classification algorithm to classify photos’ relationship according to the color database.


Fig. 5: System Architecture


Fig. 6: Real-time Surveillance System for Pomelo. (demo video)


Fig. 7: Color Analyses for Orange Daylily. (demo video)

In Virtual Reality (VR), We build a contextualized learning system with realistic interaction for medical education. This system is intended to integrate virtual reality with the knowledge of occupational therapy, especially for autistic children. Our system supports a variety of scenes to facilitate training for children’s confidence, adaptability, and social ability. Adopting our system, the training content is no longer limited to the traditional treatment room. Clearly, therapist and children are able to save their arranging time and focus on immersive training.

1511875793089Fig. 8: Developing training system. (demo video)


Fig. 9: Cooperating with Department of Occupational Therapy and NVIDIA.

For more information about our research, projects and publications, please visit our pages or contact Prof. Huang.